Efficacy of an mHealth-delivered behavioral intervention on weight loss and cardiometabolic risk in African American postpartum people with overweight or obesity: the SnapBack randomized controlled trial.

OBJECTIVE: The objective of this study was to evaluate the efficacy of a mobile health (mHealth)-delivered behavioral intervention on changes in postpartum weight and cardiometabolic risk factors (blood pressure [BP], lipids, and hemoglobin A1c) over 12 months. METHODS: A randomized controlled trial of 300 African American postpartum people with overweight and obesity enrolled in Philadelphia Women, Infants, and Children (WIC) clinics was conducted. Participants were randomized to usual WIC care (n = 151) or a 12-month mHealth-delivered intervention (n = 149) comprising behavior change goals, interactive self-monitoring text messages, and counseling support. RESULTS: Intervention and usual-care participants did not significantly differ in 12-month mean postpartum weight change (1.1 vs. 1.6 kg, p = 0.5; difference -0.6 kg, 95% CI: -2.3 to 1.2). However, high intervention engagement led to weight loss compared with weight gain among those who were less engaged (-0.6 vs. 2.4 kg, p = 0.01; difference -3.0 kg, 95% CI: -5.4 to -0.6). The intervention reduced systolic BP relative to usual care (-1.6 vs. 2.4 mm Hg, p = 0.02; difference -4.0 mm Hg, 95% CI: -7.5 to -0.5), but this effect did not extend to other cardiometabolic risk factors. CONCLUSIONS: Among African American postpartum people enrolled in WIC, an mHealth-delivered intervention reduced systolic BP but not additional cardiometabolic risk factors or weight. Intervention participants with high engagement had significantly better postpartum weight outcomes, and thus, next steps include addressing barriers to engagement.

Feasibility of using a peer coach to deliver a behavioral intervention for promoting postpartum weight loss in Black and Latina mothers.

Peer coaching may provide a culturally relevant and potentially scalable approach for delivering postpartum obesity treatment. We aimed to evaluate the feasibility of peer coaching to promote postpartum weight loss among ethnic minority women with obesity. This pilot study was a prospective, parallel-arm, randomized controlled trial. Twenty-two obese, Black or Latina mothers ≤6 months postpartum were recruited from the Philadelphia Special Supplemental Nutrition Education Program for Women, Infants and Children (WIC) and randomly assigned to either: (a) a peer-led weight loss intervention (n = 11) or (b) usual WIC care (n = 11). The intervention provided skills training and problem solving via six calls and two in-person visits with a Black mother trained in behavioral weight control strategies. Text messaging and Facebook served as platforms for self-monitoring, additional content, and interpersonal support. Both arms completed baseline and 14 week follow-up assessments. All participants were retained in the trial. Intervention engagement was high; the majority (55%) responded to at least 50% of the self-monitoring text prompts, and an average of 3.4 peer calls and 1.7 visits were completed. Mean weight loss among intervention participants was -1.4 ± 4.2 kg compared to a mean weight gain of 3.5 ± 6.0 kg in usual WIC care. Most intervention participants strongly agreed that the skills they learned were extremely useful (90%) and that the coach calls were extremely helpful for weight control (80%). Results suggest the feasibility of incorporating peer coaching into a postpartum weight loss intervention for ethnic minority women with obesity. Future research should examine the sustained impact in a larger trial.

Targeting pregnancy-related weight gain to reduce disparities in obesity: Baseline results from the Healthy Babies trial.

BACKGROUND: Obesity affects African American women more than any other group in the US. Pregnancy represents a critical life stage of heightened vulnerability for new or persistent obesity, yet few interventions have been effective in reducing excessive gestational weight gain among African American women. We describe the design and baseline findings of Healthy Babies, a two-arm randomized controlled trial testing a mobile health intervention to minimize excessive gestational weight gain versus usual care in this high risk group. METHODS: African American women in early pregnancy were recruited from two large obstetric practices as well as Philadelphia Women, Infants, and Children's clinics. Participants randomized to the intervention received behavior change goals, daily text messages with feedback, web-based weight gain graphs, health coaching, and a Facebook support group. Data collection included baseline (<22 weeks' gestation), 36-38 weeks' gestation, and 6-month postpartum anthropometric measures and assessments of demographics, contextual factors and behavioral targets. The primary outcome was prevalence of excessive gestational weight gain. RESULTS: Among participants at baseline (n = 262), the majority met criteria for obesity (63%), were multiparous (62%), single (77%), and were on average 25.6 ±â€¯5.4 years old with a gestational age of 13.9 ±â€¯4.1 weeks. While 82% completed high school, 61% met criteria for inadequate health literacy. Nearly 20% were food insecure. Eighty-eight percent reported a gestational weight gain goal discordant with Institute of Medicine guidelines. There were no significant differences in baseline characteristics between study arms. CONCLUSIONS: Participants represent a high-risk group for excessive gestational weight gain with demonstrated need for intervention.

Similarities and differences between weight loss maintainers and regainers: a qualitative analysis.

Obesity is remarkably refractory to treatment. Despite a plethora of quantitative studies, little qualitative research has been conducted on the topic of weight loss maintenance. This study used six focus groups to explore which factors promoted or prevented maintaining weight loss among a diverse, urban population. Eligible participants were those who had intentionally lost ≥10% of their body weight in the past 2 years and were categorized as either "regainers" or "maintainers" using self-reported length of weight maintenance and amount (%) regained. Regainers had regained ≥33% of their weight loss and maintainers had regained ≤15%. Participants (n=29) were predominantly African-American (58.6%) females (65.6%) with a mean age of 46.9±11.2 years. Four themes reflected similarities between regainers and maintainers, and four reflected differences between the groups. Both groups experienced lapses, used clothing fit for feedback on weight status, desired greater support during maintenance, and decreased self-monitoring of food intake over time. When compared with regainers, maintainers more often continued strategies used during weight loss, weighed themselves regularly, and used productive problem-solving skills and positive self-talk. Regainers experienced greater difficulty independently continuing food and exercise behaviors during maintenance, identifying decreased accountability and waning motivation as barriers. These findings suggest that weight loss maintenance efforts can be improved by addressing challenges such as long-term self-monitoring and problem-solving skills, and that maintenance success might depend on how people think as much as what they do.

Comparative effects of low-carbohydrate high-protein versus low-fat diets on the kidney.

BACKGROUND AND OBJECTIVES: Concerns exist about deleterious renal effects of low-carbohydrate high-protein weight loss diets. This issue was addressed in a secondary analysis of a parallel randomized, controlled long-term trial. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: Between 2003 and 2007, 307 obese adults without serious medical illnesses at three United States academic centers were randomly assigned to a low-carbohydrate high-protein or a low-fat weight-loss diet for 24 months. Main outcomes included renal filtration (GFR) indices (serum creatinine, cystatin C, creatinine clearance); 24-hour urinary volume; albumin; calcium excretion; and serum solutes at 3, 12, and 24 months. RESULTS: Compared with the low-fat diet, low-carbohydrate high-protein consumption was associated with minor reductions in serum creatinine (relative difference, -4.2%) and cystatin C (-8.4%) at 3 months and relative increases in creatinine clearance at 3 (15.8 ml/min) and 12 (20.8 ml/min) months; serum urea at 3 (14.4%), 12 (9.0%), and 24 (8.2%) months; and 24-hour urinary volume at 12 (438 ml) and 24 (268 ml) months. Urinary calcium excretion increased at 3 (36.1%) and 12 (35.7%) months without changes in bone density or clinical presentations of new kidney stones. CONCLUSIONS: In healthy obese individuals, a low-carbohydrate high-protein weight-loss diet over 2 years was not associated with noticeably harmful effects on GFR, albuminuria, or fluid and electrolyte balance compared with a low-fat diet. Further follow-up is needed to determine even longer-term effects on kidney function.

Relationship between treatment preference and weight loss in the context of a randomized controlled trial.

Randomized controlled trials (RCTs) are considered the gold standard used to assess the efficacy of treatment. While a well implemented RCT can produce an unbiased estimate of the relative difference between treatment groups, the generalizability of these findings may be limited. Specific threats to the external validity include treatment preference. The purposes of this study were to: (i) assess whether receiving one's treatment preference was associated with weight loss and retention and (ii) whether receiving one's treatment preference modified the relationship between the treatments and weight loss. Treatment preference was assessed in 250 subjects prior to but independent of randomization into either low-carbohydrate or low-fat diets. Treatment preference was a predictor of weight loss (P = 0.002) but not retention (P = 0.90). Participants who received their preference lost less weight (-7.7 kg, 95% confidence interval (CI): -9.3 to -6.1) than participants who did not receive their preference (-9.7 kg, 95% CI: -11.4 to -8.1) and participants who did not report a strong preference at baseline (-11.2 kg, 95% CI: -12.6 to -9.7) (P = 0.04 and P = 0.0004, respectively). Treatment preference did not modify the effect of the treatment on weight loss. Contrary to conceptual predictions, this study failed to identify an interaction between treatment preference and weight loss in the setting of a randomized trial. Until treatment preference effects are definitively ruled out in this domain, future studies might consider stratifying their randomization procedure by treatment preference rather than excluding participants with strong treatment preferences.

Change in food cravings, food preferences, and appetite during a low-carbohydrate and low-fat diet.

The study objective was to evaluate the effect of prescribing a low-carbohydrate diet (LCD) and a low-fat diet (LFD) on food cravings, food preferences, and appetite. Obese adults were randomly assigned to a LCD (n = 134) or a LFD (n = 136) for 2 years. Cravings for specific types of foods (sweets, high-fats, fast-food fats, and carbohydrates/starches); preferences for high-sugar, high-carbohydrate, and low-carbohydrate/high-protein foods; and appetite were measured during the trial and evaluated during this secondary analysis of trial data. Differences between the LCD and LFD on change in outcome variables were examined with mixed linear models. Compared to the LFD, the LCD had significantly larger decreases in cravings for carbohydrates/starches and preferences for high-carbohydrate and high-sugar foods. The LCD group reported being less bothered by hunger compared to the LFD group. Compared to the LCD group, the LFD group had significantly larger decreases in cravings for high-fat foods and preference for low-carbohydrate/high-protein foods. Men had larger decreases in appetite ratings compared to women. Prescription of diets that promoted restriction of specific types of foods resulted in decreased cravings and preferences for the foods that were targeted for restriction. The results also indicate that the LCD group was less bothered by hunger compared to the LFD group and that men had larger reductions in appetite compared to women.

Behavioral treatment of obesity.

Behavioral treatment is an approach used to help individuals develop a set of skills to achieve a healthier weight. It is more than helping people to decide what to change; it is helping them identify how to change. The behavior change process is facilitated through the use of self-monitoring, goal setting, and problem solving. Studies suggest that behavioral treatment produces weight loss of 8-10% during the first 6 mo of treatment. Structured approaches such as meal replacements and food provision have been shown to increase the magnitude of weight loss. Most research on behavioral treatment has been conducted in university-based clinic programs. Although such studies are important, they tell us little about the effectiveness of these approaches in settings outside of specialized clinics. Future research might focus more on determining how these behavioral techniques can be best applied in a real-world setting.